When a telecommunication company wants to do business abroad, there are many problems come in the whole project lifecycle. In this dissertation, two specific problems in both pre-sales and post-sales are declared in a telecommunication project in Peru. Firstly, in pre-sales period, telecommunication company gets project opportunities passively. Opportunities come with original technical requirement which are not predictable. These unpredicted technical requirements are not fully-complied by the company's solution. Secondly, in post-sales period, site debug is one of the most important services to provide. Currently, whole site installation complete and provisioning ready is the prerequisite of debugging. It takes a long time and the supervisor has to go to the site location times and times again. Service efficiency is low. To improve the real situation with problems, in this dissertation, first I make a deep research on data classification and acquisition. There are three kinds of customer data: descriptive information, sales information and transaction information. The data acquisition can be done through three channels: from customer directly, from consulting company and from public new media. Also there is varied service information to be collected. Then, I set up an information model and a service model by using information and service modeling method. During pre-sales period, company can be more active to find more project opportunities, with technical guidance and marketing consultant. In post-sales period, I set up a new service model in site installation service which makes a great effect to the service process. It can improve service management level, service efficiency and service quality, which means it can help enterprise save time and cost.